Literature DB >> 33580191

An equation of state for insect swarms.

Michael Sinhuber1,2, Kasper van der Vaart1, Yenchia Feng1, Andrew M Reynolds3, Nicholas T Ouellette4.   

Abstract

Collective behaviour in flocks, crowds, and swarms occurs throughout the biological world. Animal groups are generally assumed to be evolutionarily adapted to robustly achieve particular functions, so there is widespread interest in exploiting collective behaviour for bio-inspired engineering. However, this requires understanding the precise properties and function of groups, which remains a challenge. Here, we demonstrate that collective groups can be described in a thermodynamic framework. We define an appropriate set of state variables and extract an equation of state for laboratory midge swarms. We then drive swarms through "thermodynamic" cycles via external stimuli, and show that our equation of state holds throughout. Our findings demonstrate a new way of precisely quantifying the nature of collective groups and provide a cornerstone for potential future engineering design.

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Year:  2021        PMID: 33580191      PMCID: PMC7881103          DOI: 10.1038/s41598-021-83303-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  27 in total

1.  Mechanics of fire ant aggregations.

Authors:  Michael Tennenbaum; Zhongyang Liu; David Hu; Alberto Fernandez-Nieves
Journal:  Nat Mater       Date:  2015-10-26       Impact factor: 43.841

Review 2.  Collective cognition in animal groups.

Authors:  Iain D Couzin
Journal:  Trends Cogn Sci       Date:  2008-12-06       Impact factor: 20.229

3.  Particle robotics based on statistical mechanics of loosely coupled components.

Authors:  Shuguang Li; Richa Batra; David Brown; Hyun-Dong Chang; Nikhil Ranganathan; Chuck Hoberman; Daniela Rus; Hod Lipson
Journal:  Nature       Date:  2019-03-20       Impact factor: 49.962

4.  Determining asymptotically large population sizes in insect swarms.

Authors:  James G Puckett; Nicholas T Ouellette
Journal:  J R Soc Interface       Date:  2014-10-06       Impact factor: 4.118

5.  How Far from Equilibrium Is Active Matter?

Authors:  Étienne Fodor; Cesare Nardini; Michael E Cates; Julien Tailleur; Paolo Visco; Frédéric van Wijland
Journal:  Phys Rev Lett       Date:  2016-07-13       Impact factor: 9.161

6.  The onset of collective behavior in social amoebae.

Authors:  Thomas Gregor; Koichi Fujimoto; Noritaka Masaki; Satoshi Sawai
Journal:  Science       Date:  2010-04-22       Impact factor: 47.728

7.  Multi-scale inference of interaction rules in animal groups using Bayesian model selection.

Authors:  Richard P Mann; Andrea Perna; Daniel Strömbom; Roman Garnett; James E Herbert-Read; David J T Sumpter; Ashley J W Ward
Journal:  PLoS Comput Biol       Date:  2013-03-21       Impact factor: 4.475

8.  Behavioural plasticity and the transition to order in jackdaw flocks.

Authors:  Hangjian Ling; Guillam E Mclvor; Joseph Westley; Kasper van der Vaart; Richard T Vaughan; Alex Thornton; Nicholas T Ouellette
Journal:  Nat Commun       Date:  2019-11-15       Impact factor: 14.919

9.  The modelling cycle for collective animal behaviour.

Authors:  David J T Sumpter; Richard P Mann; Andrea Perna
Journal:  Interface Focus       Date:  2012-08-15       Impact factor: 3.906

10.  Mechanical spectroscopy of insect swarms.

Authors:  Kasper van der Vaart; Michael Sinhuber; Andrew M Reynolds; Nicholas T Ouellette
Journal:  Sci Adv       Date:  2019-07-10       Impact factor: 14.136

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  1 in total

1.  Understanding the thermodynamic properties of insect swarms.

Authors:  Andy M Reynolds
Journal:  Sci Rep       Date:  2021-07-22       Impact factor: 4.379

  1 in total

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